This paper aims at presenting the systems theory-based approach to the learning (instructional) process. Such as approach is necessary, if one takes into consideration the the complex and holistic nature of the learning process. The presented modeling is based on the definition of an automatic regulation system and artificial intelligence techniques. For this purpose, an Intelligent Instructional System (IIS) is defined using the concepts: inputs, outputs, perturbations factors, regulation, feedback and AI learning techniques. The contextual environment of learning plays the major role in this system and it establishes the perturbation factors. The regulation consists in AI learning techniques, so the IIS is a flexible and adaptive system. The process’ behaviour is described using pseudo-boolean and linear equations. This kind of approach enables solving the problems of the complexity and uncertainty of the learning (instructional) systems and, particularly, those of the e-learning (online and offline). Applications of the proposed approach may be found in e-learning courses for Mathematics, Computing, Architecture, Archaeology, Cultural Heritage, etc.
Estimation of Semiconductor Switching Losses under Hard Switching using Matlab/Simulink Subsystem
